AI Applications Engineer
Five9
Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.
Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.
AI Applications Engineer
ABOUT THE ROLE
Five9 is a leading provider of cloud contact center software, bringing the power of Five9 AI and automation to organizations worldwide. The Enterprise-AI Team drives Five9's internal adoption of AI — turning emerging capability into real business outcomes across the company.
The AI Platform Engineer builds and operates the platform Five9's AI solutions run on. Where the AI Automation Engineer builds solutions and automations, you build the paved road they build on — the cloud environment, delivery pipelines, model and agent runtime, data and integration plumbing, security and governance guardrails, and the reusable components that let the team and the business ship AI quickly, safely, and reliably. You keep the platform secure, observable, and production-grade so every AI solution has a dependable foundation, and you stay current on the fast-moving AI infrastructure and tooling landscape.
HOW YOU CONTRIBUTE
- Platform build & operation — Build and operate the AI platform on the cloud — compute, environments, networking, and runtime — and keep it production-grade, secure, and reliable.
- Infrastructure as code — Provision and manage infrastructure as code (e.g., Terraform) so environments are reproducible, reviewable, and auditable.
- CI/CD & delivery pipelines — Build and maintain the pipelines — build, test, security gates, deploy — that solution builders and business teams ship through.
- Model & agent runtime (MLOps / LLMOps) — Stand up model and agent serving, evaluation, prompt and version management, and the tooling to run LLM- and agent-based systems in production.
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